Abstract: A method (500) for managing nausea includes receiving, from one or more monitoring devices (200), patient parameter data (212) of a patient (10). The patient parameter data is collected by the one or more monitoring devices. The method also includes determining, based on the patient parameter data of the patient, whether the patient is experiencing or about to experience an episode of nausea. When the patient is experiencing or about to experience an episode of nausea, the method also includes communicating one or more therapy signals (302, 304, 306, 308) to a receiver device (12, 21, 400) in communication with the computing device.

Abstract: Disclosed is a bioimpedance measurement system: A stabilized high frequency current generator is connected to PadSet electrodes via a Patient Cable. Electrodes are connected to an adaptive circuit that conditions the resulting voltage signal and converts it to digital form. Firmware performs signal acquisition and relays data to the device.

Abstract: Disclosed is a bioimpedance measurement system: A stabilized high frequency current generator is connected to PadSet electrodes via a Patient Cable. Electrodes are connected to an adaptive circuit that conditions the resulting voltage signal and converts it to digital form. Firmware performs signal acquisition and relays data to the device.

Abstract: Disclosed is a system that includes a sensor for acquiring a physiological bioelectrical impedance signal from a patient functionally connected to the computing device. The computing device preferably analyzes the physiological bioelectrical impedance signal and provides outputs an assessment of minute ventilation of the patient based on the analyzed bioelectrical impedance signal. Preferably, the system monitors the signal over time, provides a control signal to an IV pump that instructs the IV Pump to automatically adjust medication levels by automatically lowering medication levels when respiration levels fall or completely stopping flow of the medication.

Abstract: An early warning scoring system and method comprises a computing device, a plurality of sensors for acquiring physiological signals from a patient, wherein the sensors are functionally connected to the computing device, and at least one alarm adapted to output an alert upon an early warning score (EWS) exceeding a predetermined level. The computing device receives the physiological signals from the sensors, analyzes the physiological signals, and based on the analyzed signals, calculates the early warning score, and compares to the early warning score to predetermined limits and, if the score is outside the limits, triggers an alarm or actuates or modifies a treatment or medical intervention.

Abstract: Systems and methods of leveraging high-fidelity continuous respiratory volume monitoring for rapid patient assessment are disclosed herein.

Abstract: An early warning scoring system and method include a computing device, a plurality of sensors for acquiring physiological signals from a patient, wherein the sensors are functionally connected to the computing device, and at least one alarm adapted to output an alert upon an early warning score (EWS) exceeding a predetermined level. The computing device receives the physiological signals from the sensors, analyzes the physiological signals, and based on the analyzed signals, calculates the early warning score, and compares to the early warning score to predetermined limits and, if the score is outside the limits, triggers an alarm or actuates or modifies a treatment or medical intervention.

Abstract: This invention is directed to devices and methods for assessing a patient. The devices have at least one impedance measuring element functionally connected to a programmable element, programmed to analyze an impedance measurement, and to provide an assessment of at least one respiratory parameter of the patient. Preferably the device includes electronics which aid in calibration, signal acquisition, conditioning, and filtering.

Abstract: An electrode padset and a method of using the electrode padset are disclosed herein. The electrode padset is a single unit, consisting of multiple patient-contacting conductive pads arranged on a single piece of material. The padset is comprised of a plurality of conductive pads, at least one conductive pad adapted to emit an electrical signal and at least one other conductive pad adapted to receive an electrical signal, and an electrically conductive material coupling the conductive pads.

Abstract: This invention is directed to devices and methods for assessing a patient. The devices have at least one impedance measuring element functionally connected to a programmable element, programmed to analyze an impedance measurement, and to provide an assessment of at least one respiratory parameter of the patient. Preferably the device includes electronics which aid in calibration, signal acquisition, conditioning, and filtering.

Abstract: Embodiments of the invention are directed to methods and devices for displaying trends and variability in a physiological dataset. The method comprises obtaining the physiological dataset, applying a smoothing algorithm to the physiological dataset to obtain a trend of the physiological dataset, applying a variability algorithm to the physiological dataset to obtain the variability of the physiological dataset, outputting a graph of the trend of the physiological dataset, and outputting a graph of the variability of the physiological dataset.

Abstract: An electrode padset and a method of using the electrode padset are disclosed herein. The electrode padset is a single unit, consisting of multiple patient-contacting conductive pads arranged on a single piece of material. The padset is comprised of a plurality of conductive pads, at least one conductive pad adapted to emit an electrical signal and at least one other conductive pad adapted to receive an electrical signal, and an electrically conductive material coupling the conductive pads.

Abstract: Embodiments of the invention are directed to methods and devices for displaying trends and variability in a physiological dataset. The method comprises obtaining the physiological dataset, applying a smoothing algorithm to the physiological dataset to obtain a trend of the physiological dataset, applying a variability algorithm to the physiological dataset to obtain the variability of the physiological dataset, outputting a graph of the trend of the physiological dataset, and outputting a graph of the variability of the physiological dataset.

Abstract: Methods and systems of displaying flow-volume loops of a patient and variability of the flow-volume loops across measured breaths are disclosed. The methods comprise obtaining a physiological dataset of the patient on a data acquisition device, applying a smoothing and curve fitting algorithm to the physiological dataset on a processing device to obtain real-time volume and flow data at a plurality of time instances, applying a visualization algorithm on the processing device to the volume and flow data to create a series of flow-volume loops based on the volume and flow data, and outputting a plot of the flow-volume loops on a display device to aid evaluation or diagnosis of the patient.

Abstract: An electrode padset and a method of using the electrode padset are disclosed herein. The electrode padset is a single unit, consisting of multiple patient-contacting conductive pads arranged on a single piece of material. The padset is comprised of a plurality of conductive pads, at least one conductive pad adapted to emit an electrical signal and at least one other conductive pad adapted to receive an electrical signal, and an electrically conductive material coupling the conductive pads.

Abstract: An electrode padset and a method of using the electrode padset are disclosed herein. The electrode padset is a single unit, consisting of multiple patient-contacting conductive pads arranged on a single piece of material. The padset is comprised of a plurality of conductive pads, at least one conductive pad adapted to emit an electrical signal and at least one other conductive pad adapted to receive an electrical signal, and an electrically conductive material coupling the conductive pads.

Abstract: Ventilation therapy systems and methods are disclosed. The system comprises a computing device, and a plurality of sensors for acquiring a physiological bioelectrical impedance signal from a patient, wherein the sensors are functionally connected to the computing device. The computing device receives the physiological bioelectrical impedance signal from the sensors, analyzes the physiological bioelectrical impedance signal, based on the analyzed physiological bioelectrical impedance signal, monitors the patient's respiratory status before and/or after extubation, and provides audible or visual recommendations for additional respiratory treatment or medications based on the patient's respiratory status.

Abstract: An early warning scoring system and method are disclosed. The system comprises a computing device, a plurality of sensors for acquiring physiological signals from a patient, wherein the sensors are functionally connected to the computing device, and at least one alarm adapted to output an alert upon an early warning score (EWS) exceeding a predetermined level. The computing device receives the physiological signals from the sensors, analyzes the physiological signals, and based on the analyzed signals, calculates the early warning score, and compares to the early waring score to predetermined limits and, if the score is outside the limits, triggers an alarm or actuates or modifies a treatment or medical intervention.

Abstract: Disclosed is a bioimpedance measurement system: A stabilized high frequency current generator is connected to PadSet electrodes via a Patient Cable. Electrodes are connected to an adaptive circuit that conditions the resulting voltage signal and converts it to digital form. Firmware performs signal acquisition and relays data to the device.

Abstract: Embodiments of the invention are directed to methods and devices for displaying trends and variability in a physiological dataset. The method comprises obtaining the physiological dataset, applying a smoothing algorithm to the physiological dataset to obtain a trend of the physiological dataset, applying a variability algorithm to the physiological dataset to obtain the variability of the physiological dataset, outputting a graph of the trend of the physiological dataset, and outputting a graph of the variability of the physiological dataset.